A machine learning architecture for including wave breaking in envelope-type wave models-Reference-Cited by-同舟云学术

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A machine learning architecture for including wave breaking in envelope-type wave models

Published:2024-08 Issue: Volume:305 Page:118009
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Liu Yuxuan^ORCID,Eeltink Debbie^ORCID,van den Bremer Ton S.^ORCID,Adcock Thomas A.A.^ORCID

Publisher

Elsevier BV

Reference35 articles.

1. Fast and local non-linear evolution of steep wave-groups on deep water: A comparison of approximate models to fully non-linear simulations;Adcock;Phys. Fluids,2016

2. Breaking and Dissipation of Ocean Surface Waves;Babanin,2011

3. MNLS simulations of surface wave groups with directional spreading in deep and finite depth waters;Barratt;J. Ocean Eng. Mar. Energy,2021

4. On a unified breaking onset threshold for gravity waves in deep and intermediate depth water;Barthelemy;J. Fluid Mech.,2018

5. Particle trajectories in nonlinear Schrödinger models;Carter;Water Waves,2019

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